Learning with an Object-Oriented Data Model

Michela Milano, Andrea Omicini, Fabrizio Riguzzi

Joint Meeting of the AI*IA Workgroups on Machine Learning and Natural Language (AALN'97), pages 137-140
9-10 December 1997
Extended Abstract

We aim at investigating the impact of an object-oriented data model on the learning process, where the background knowledge is structured as a collection of logic theories, organised in a hierarchy, and child/parent relationships between theories are reinterpreted as class/superclass relationships.

@inproceedings{ooilp-aiia97,
Address = {Torino, Italy},
Author = {Milano, Michela and Omicini, Andrea and Riguzzi, Fabrizio},
Booktitle = {Joint Meeting of the AI*IA Workgroups on Machine Learning and Natural Language (AALN'97)},
Month = {9--10~} # dec,
Note = {Extended Abstract},
Pages = {137--140},
Title = {Learning with an Object-Oriented Data Model},
Year = 1997}

Tags: inductive logic programming object-oriented inductive logic programming

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Publication

Learning with an Object-Oriented Data Model

— authors

Michela Milano, Andrea Omicini, Fabrizio Riguzzi

— status

published

— sort

paper in proceedings

Venue

— volume

Joint Meeting of the AI*IA Workgroups on Machine Learning and Natural Language (AALN'97)

— pages

137-140

— context

AALN'97

— where

Torino, Italy

— publication date

9-10 December 1997

BibTeX

— BibTeX ID
ooilp-aiia97
— BibTeX category
inproceedings